scholarly journals An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1389
Author(s):  
Fernando Rubio Perona ◽  
María Julia Flores Gallego ◽  
José Miguel Puerta Callejón
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Quality Assessment ◽  
Relevant Information ◽  
High Quality ◽  
Aesthetic Quality ◽  
Image Finding ◽  
Original Program ◽  
Visualization Tools ◽  
The Aesthetic

Automatic aesthetic quality assessment is a computer vision problem in which we quantify the attractiveness or the appealingness of a photograph. This is especially useful in social networks, where the amount of images generated each day requires automation for processing. This work presents Aesthetic Selector, an application able to identify images of high aesthetic quality, showing also relevant information about the decisions and providing the use of the most appropriate filters to enhance a given image. We then analyzed the main proposals in the aesthetic quality field, describing their strengths and weaknesses in order to determine the filters to be included in the application Aesthetic Selector. This proposed application was tested, giving good results, in three different scenarios: image selection, image finding, and filter selection. Besides, we carried out a study of distinct visualization tools to better understand the models’ behavior. These techniques also allow detecting which areas are more relevant within the images when models perform classification. The application also includes this interpretability module. Aesthetic Selector is an innovative and original program, because in the field of aesthetic quality in photography, there are no applications that identify high-quality images and also because it offers the capability of showing information about which parts of the image have affected this decision.

scholarly journals Comparison of Aesthetic Quality of the Final Scar in Abdominoplasty with Conventional and Mini Inverted t-Scar

Medicina ◽  
2019 ◽  
Vol 55 (5) ◽  
pp. 142 ◽  
Author(s):  
Sevgi Kurt Yazar ◽  
Merdan Serin
Keyword(s):  
Breast Reconstruction ◽  
Vertical Scar ◽  
High Quality ◽  
Aesthetic Quality ◽  
Excess Skin ◽  
Vertical Incision ◽  
The Aesthetic ◽  
Epigastric Flap ◽  
Scar Width

Background and objectives: Abdominoplasty is one of the most commonly performed cosmetic procedures. The excess skin in the conventional abdominoplasty is transversely excised and a single horizontal scar is formed. The mini inverted t-scar abdominoplasty is a modification of the “Fleur-de-lis” technique and involves the use of a small vertical incision in comparison to the long vertical incision. The aim of this technique is to lower the position of the final abdominal scar instead of addressing the horizontal laxity. In this study, we have compared the aesthetic satisfaction, width and the position of the scar with conventional abdominoplasty and mini inverted t-scar abdominoplasty. Materials and Methods: Thirty patients undergoing abdominoplasty and breast reconstruction with transverse rectus abdominis flap (TRAM) and deep inferior epigastric flap (DIEP) were included in the study. In 15 patients, abdominal closure with the conventional transverse scar was performed. In the remaining 15 patients, closure with a mini inverted t-scar was performed. Scar width, scar height and satisfaction scores were evaluated in both groups. Results: Scar widths, scar heights and patients’ and as well as surgeons’ satisfaction scores were better in the mini inverted t-scar group than the conventional group. Conclusions: The visibility of the vertical scar alone should not be a reason to avoid mini inverse t-scar abdominoplasty. Mini inverted t-scar can be an option to achieve a better hidden high-quality scar.

The Aesthetic Quality of a Quantitatively Average Music Performance: Two Preliminary Experiments

1997 ◽  
Vol 14 (4) ◽  
pp. 419-444 ◽  
Author(s):  
Bruno H. Repp
Keyword(s):  
Music Performance ◽  
Performance Parameters ◽  
High Quality ◽  
Aesthetic Quality ◽  
Average Performance ◽  
Quality Ratings ◽  
Negative Linear Correlation ◽  
The Aesthetic ◽  
Human Faces

A statistically average or prototypical member of a category (e.g., human faces) is often perceived as more attractive than less typical category members. Two experiments explored to what extent this may hold for music performance, an artistic domain in which individuality (i.e., deviation from prototypicality) is highly valued. In Experiment 1, graduate student pianists judged 11 student performances of Schumann's "Traumerei," one of which was created by forming the mathematical average of the other 10. The average performance was rated second highest in quality, even though it was judged second lowest in individuality. In Experiment 2, pianists judged 30 performances of the beginning of Chopin's Etude in E major, synthesized so as to vary only in expressive timing and tempo. The timing patterns were derived from expert pianists' recordings and from casual student performances, and they included separate and combined averages. All three averages received high quality ratings, and the expert average was rated highest of all 30 performances. There was a negative linear correlation between rated quality and individuality. Paradoxically, therefore, the students' expressive timing patterns were preferred over the experts'. Possible explanations of this finding are discussed, such as interactions between timing and other performance parameters and conditions under which conventionality tends to be favored over individuality.

A distributional semantics-based information retrieval framework for online social networks

2021 ◽  
pp. 1-11
Author(s):  
V.S. Anoop ◽  
P. Deepak ◽  
S. Asharaf
Keyword(s):  
Social Networks ◽  
Information Retrieval ◽  
Online Social Networks ◽  
Latent Dirichlet Allocation ◽  
Relevant Information ◽  
Distributional Semantics ◽  
Scalable Algorithms ◽  
Mobile Platforms ◽  
Cancer Support ◽  
Efficient Extraction

Online social networks are considered to be one of the most disruptive platforms where people communicate with each other on any topic ranging from funny cat videos to cancer support. The widespread diffusion of mobile platforms such as smart-phones causes the number of messages shared in such platforms to grow heavily, thus more intelligent and scalable algorithms are needed for efficient extraction of useful information. This paper proposes a method for retrieving relevant information from social network messages using a distributional semantics-based framework powered by topic modeling. The proposed framework combines the Latent Dirichlet Allocation and distributional representation of phrases (Phrase2Vec) for effective information retrieval from online social networks. Extensive and systematic experiments on messages collected from Twitter (tweets) show this approach outperforms some state-of-the-art approaches in terms of precision and accuracy and better information retrieval is possible using the proposed method.

THE ROLE OF URBAN AESTHETICS ON ENHANCING VITALITY OF URBAN SPACES

2021 ◽  
pp. xx-xx
Keyword(s):  
Urban Design ◽  
Direct Consequence ◽  
Point Of View ◽  
Urban Spaces ◽  
Urban Setting ◽  
Aesthetic Quality ◽  
Aesthetic Design ◽  
Active Involvement ◽  
The Aesthetic

Several scholars have focused on the different approaches in designing convivial urban spaces, but literary evidence shows that the essence of aesthetic design in public urban spaces, by referring to the main dimensions involved in the shaping of urban vitality, has not been adequately researched. In this regard, this study, by hypothesizing that the quality of urban design leads to a vital urban environment, focuses on urban vitality from the aesthetic point of view. Thus, in using qualitative grounded theory as a main methodological tool and using a systematic review of the related literature as the main induction approach for collecting qualitative data, five main dimensions of urban vitality, which are necessary to attain a correlation with the aesthetic quality of urban design, were conceptualized. The study concludes that the aesthetic design of an urban setting has a direct effect on the active involvement of its users and that this, therefore, has a direct consequence on the level of public urban vitality, manifested. Integrating the complexity theory with the five main dimensions used for assessing urban vitality was suggested as a viable area for further research.

DEVELOPMENT OF THE APPENDIX FOR CHECKING RESIDUAL KNOWLEDGE OF STUDENTS

2021 ◽  
Author(s):  
Анна Юрьевна Белякова ◽  
Алена Алексеевна Самохвалова
Keyword(s):  
Quality Assessment ◽  
High Quality ◽  
Applied Informatics ◽  
Definition Of

В статье рассматривается определение остаточных знаний студентов. Для более эффективной и качественной оценки знаний по дисциплинам профессионального блока у студентов направления 09.03.03 - Прикладная информатика предлагается автоматизировать данный процесс. The article discusses the definition of residual knowledge of students. For a more efficient and high-quality assessment of knowledge in the disciplines of the professional block among students of the direction 09.03.03 - Applied Informatics, it is proposed to automate this process.

scholarly journals Evaluation of a staff training programme to reimplement a comprehensive health assessment

2018 ◽  
Vol 7 (4) ◽  
pp. e000353 ◽  
Author(s):  
Luke A Turcotte ◽  
Jake Tran ◽  
Joshua Moralejo ◽  
Nancy Curtin-Telegdi ◽  
Leslie Eckel ◽  
...  
Keyword(s):  
Data Quality ◽  
Quality Assessment ◽  
Health Information ◽  
Health Assessment ◽  
Training Programme ◽  
Care Planning ◽  
Assessment Framework ◽  
High Quality ◽  
Data Quality Assessment ◽  
Comprehensive Health

BackgroundHealth information systems with applications in patient care planning and decision support depend on high-quality data. A postacute care hospital in Ontario, Canada, conducted data quality assessment and focus group interviews to guide the development of a cross-disciplinary training programme to reimplement the Resident Assessment Instrument–Minimum Data Set (RAI-MDS) 2.0 comprehensive health assessment into the hospital’s clinical workflows.MethodsA hospital-level data quality assessment framework based on time series comparisons against an aggregate of Ontario postacute care hospitals was used to identify areas of concern. Focus groups were used to evaluate assessment practices and the use of health information in care planning and clinical decision support. The data quality assessment and focus groups were repeated to evaluate the effectiveness of the training programme.ResultsInitial data quality assessment and focus group indicated that knowledge, practice and cultural barriers prevented both the collection and use of high-quality clinical data. Following the implementation of the training, there was an improvement in both data quality and the culture surrounding the RAI-MDS 2.0 assessment.ConclusionsIt is important for facilities to evaluate the quality of their health information to ensure that it is suitable for decision-making purposes. This study demonstrates the use of a data quality assessment framework that can be applied for quality improvement planning.

scholarly journals Product Design Award Prediction Modeling: Design Visual Aesthetic Quality Assessment via DCNNs

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 211028-211047
Author(s):  
Jianfeng Wu ◽  
Baixi Xing ◽  
Huahao Si ◽  
Jian Dou ◽  
Jin Wang ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Product Design ◽  
Prediction Modeling ◽  
Aesthetic Quality

scholarly journals The erotic/aesthetic quality seen from the perspective of Levinas’s ethical an-archaeology

2020 ◽  
Vol 31 (1) ◽  
pp. 98-107
Author(s):  
Srdjan Maras
Keyword(s):  
Sharp Contrast ◽  
The Other ◽  
Aesthetic Quality ◽  
Other Hand ◽  
The Aesthetic ◽  
The Erotic

This paper emphasizes the place and the role of the aesthetic quality and the role of the erotic in Levinas?s project that deals with ethical an-archaeology. Despite Levinas?s categorical statements that there are irreconcilable differences between ethics and aesthetics, i.e. between ethics and the erotic, above all, it is emphasized here that these differences do not represent a stark or sharp contrast, but quite contrary, they often constitute a subversive ontological element. On the other hand, somewhat unexpectedly, with its ethical anti-aestheticism Levinas?s ?noncontemporary? thought appears to be, at the same time, both significant and critical, elementary, emancipatory and contemporary in relation to present-day reactionary reactualization and revitalization of the aesthetic quality which mechanically proceeds to develop on the margins of Levinas?s emancipatory past.

scholarly journals Quality Assessment of Online Complementary and Alternative Medicine Information Resources Relevant to Cancer

2021 ◽  
Vol 20 ◽  
pp. 153473542110660
Author(s):  
Megan E. Sansevere ◽  
Jeffrey D. White
Keyword(s):  
Alternative Medicine ◽  
Quality Assessment ◽  
Complementary And Alternative Medicine ◽  
Cancer Patients ◽  
Health Information ◽  
Cancer Center ◽  
The Internet ◽  
Healthcare Team ◽  
High Quality ◽  
Complementary And Alternative

Background: Complementary and alternative medicine (CAM) is often used by cancer patients and survivors in the US. Many people turn to the internet as their first source of information. Health information seeking through the internet can be useful for patients to gain a better understanding of specific CAM treatments to discuss with their healthcare team, but only if the information is comprehensive, high quality, and reliable. The aim of this article is to examine the content, writing/vetting processes, and visibility of cancer CAM online informational resources. Methods: Online CAM resources were identified by Google and PubMed searches, literature reviews, and through sources listed on various websites. The websites were analyzed through a modified online health information evaluation tool, DISCERN (score range = 1-5). The website’s features relevant to the quality assessment were described. Results: Eleven CAM websites were chosen for analysis. The DISCERN analysis showed a range of quality scores from 3.6 to 4.9. Lower DISCERN scores were generally due to deficiencies in describing the writing, editing, and updating processes. A lack of transparency with authorship and references was commonly present. Conclusion: Cancer patients interested in CAM need unbiased, evidence-based, reliable, high-quality, easily accessible educational materials. Individuals should use the guidelines followed in this analysis (including DISCERN and Medline Plus) to find reliable sources. Website developers can use CAM Cancer (NAFKAM), Beyond Conventional Cancer Therapies, Memorial Sloan Kettering Cancer Center, breastcancer.org , Office of Dietary Supplements, National Center for Complementary and Integrative Health, and Cancer.gov as models for trustworthy content.

scholarly journals DeepOSN: Bringing deep learning as malicious detection scheme in online social network

2020 ◽  
Vol 9 (1) ◽  
pp. 146
Author(s):  
Putra Wanda ◽  
Marselina Endah Hiswati ◽  
Huang J. Jie
Keyword(s):  
Social Networks ◽  
Computer Vision ◽  
Deep Learning ◽  
Online Social Networks ◽  
Link Prediction ◽  
Online Social Network ◽  
Detection Scheme ◽  
Malicious Activity ◽  
Manual Analysis ◽  
Learning Techniques

Manual analysis for malicious prediction in Online Social Networks (OSN) is time-consuming and costly. With growing users within the environment, it becomes one of the main obstacles. Deep learning is growing algorithm that gains a big success in computer vision problem. Currently, many research communities have proposed deep learning techniques to automate security tasks, including anomalous detection, malicious link prediction, and intrusion detection in OSN. Notably, this article describes how deep learning makes the OSN security technique more intelligent for detecting malicious activity by establishing a classifier model.

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